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Remote Sensing Technology and Application  2014, Vol. 29 Issue (1): 75-81    DOI: 10.11873/j.issn.1004\|0323.2014.1.0075
    
New CFAR Ship Detection Algorithm based on Adaptive Background Clutter Model in Wide Swath SAR Images
Lin Xu1,3,4,Hong Jun2,3,Sun Xian1,3,Yan Yi4,5
(1.Key Laboratory of Technology in Geo\|spatial Information Processing and Application System,Institute of Electronics,Chinese Academy of Sciences,Beijing 100190,China;
2.China National Key Laboratory of Microwave Imaging Technology,Institute of Electronics,Chinese Academy of Sciences,Beijing 100190,China;
3.Institute of Electronics,Chinese Academy of Sciences,Beijing 100190,China;
4.University of Chinese Academy of Sciences,Beijing 100049,China;
5.School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 100049,China)
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Abstract  

In recent year,ship detection of wide swath SAR images have been widely used in ocean surveillance and military reconnaissance.The background clutter property of wide swath SAR images ranges apply in different image regions due to the complex sea conditions.Two parameter CFAR detector and K-distribution\|based CFAR detector use the same distribution model which estimates the background clutter to detect the whole area.The used model is not fit for some regions,making higher loss of CFAR,bringing down the test performance.In this paper,a novel CFAR ship detection algorithm is presented which chooses the background clutter distribution model according to the multi-scale statistical variance:that is,choosing log\|normal distribution in a uniform region and K-distribution in a non\|uniform region.Then a threshold of the constant false alarm rate and the probability density function can be derived by the CFAR detector.Experimental results from 20 different wide swath SAR images are given to demonstrate that the proposed algorithm decreases the false alarms effectively and has high practical value.

Key words:  CFAR;Oceanic wide swath SAR images      Background clutter model      Adaptive selection      Multi-scale statistical variance     
Received:  12 November 2012      Published:  14 May 2014
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Lin Xu
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Yan Yi

Cite this article: 

Lin Xu,Hong Jun,Sun Xian,Yan Yi. New CFAR Ship Detection Algorithm based on Adaptive Background Clutter Model in Wide Swath SAR Images. Remote Sensing Technology and Application, 2014, 29(1): 75-81.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004\|0323.2014.1.0075     OR     http://www.rsta.ac.cn/EN/Y2014/V29/I1/75

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